skills CLAUDE.md

skills CLAUDE.md is an instructions file for coding agents from tasteray/skills. It costs 1,259 tokens per session, scanned A, original, MIT.

Repository instructions for a collection of skills focused on psychological profiling through conversation. They describe the repository layout, skill-file format, research references, and contribution process.

In plain words
What is it for?
Use them when adding or updating a skill, organizing its references, writing required metadata, or following the repository's contribution rules.
Why use it?
They give contributors a consistent structure for creating and maintaining research-backed skills.

Instructions file

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/tasteray/skills/claude-md
Clone the repo
git clone --depth 1 https://github.com/tasteray/skills

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for skills CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/tasteray/skills/claude-md.svg)](https://agentmods.dev/instructions/tasteray/skills/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/tasteray/skills/claude-md"><img src="https://agentmods.dev/badge/instructions/tasteray/skills/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,259 This file is loaded in full into every session.
When invoked 1,259 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.01259 $0.01259
Opus 5 $0.00629 $0.00629
Sonnet 5 $0.00252 $0.00252
Haiku 4.5 $0.00126 $0.00126

Measured 5d ago against content hash 44d58847ed3e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skills CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TasteRay Skills Repository

Commit directly to main

Purpose

This repository contains skills for TasteRay's psychological profiling capabilities. Skills encode research-backed techniques for understanding users through natural conversation.

Repository Structure

/
├── .gitignore
├── CLAUDE.md          # This file
├── LICENSE            # MIT License
├── README.md          # Skill catalog and installation
└── <skill-name>/
    ├── SKILL.md       # Main skill file with YAML frontmatter
    └── references/    # Supporting research and technique details
        └── *.md

Skill File Format

Each skill has a SKILL.md file with YAML frontmatter:

---
name: skill-name
description: 'Multi-line description of when to use this skill.
  Include specific use cases and trigger phrases.'
---

The body contains:

  • Core principles and philosophy
  • Research foundations with citations
  • Specific techniques with examples
  • Anti-patterns (what NOT to do)
  • References section linking to detailed reference files

Adding New Skills

  1. Create a directory with the skill name (lowercase, hyphenated)
  2. Add SKILL.md with proper YAML frontmatter
  3. Add reference files in references/ subdirectory
  4. Update README.md with the new skill
  5. Commit directly to main

Installation

Skills are installed via the skills.sh installer:

npx skills add tasteray/skills/<skill-name>

Or install all skills:

npx skills add tasteray/skills

Conventions

  • Use academic citations where possible
  • Include specific conversational examples
  • Document anti-patterns explicitly
  • Keep reference files focused on single topics
  • Cross-reference between related techniques

Session concierge — resource fit-check

Proposing the right session setup is Claude's job, not the user's. When the first real task of a session arrives, check — BEFORE starting work — whether the session has what the task needs:

  1. Infer what the task touches using the resource map below.
  2. Compare with what is actually available: cloned repos, MCP servers (probe via tool search — availability varies per user and environment), skills.
  3. If something relevant is missing, open the reply with a short section "Setup for this task" / "Zestaw na to zadanie" (match the user's language): what's missing, why it matters (one phrase each), and the exact next step written for a non-technical reader. Do it yourself when possible (add_repo tool if present, MCP authorization links); ask the user only for what genuinely requires them. Start any work that can safely proceed in parallel.
  4. If nothing is missing, don't mention resources at all — just do the task.
  5. Never guess the other side of a cross-repo contract: if the task touches a contract whose other repo is not connected, treat that repo as missing.

Read the full file on GitHub · 110 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 110 lines · 1,259 tokens per session scan A 44d58847ed3e

Subscribe to this mod's changes

skills CLAUDE.md is an instructions file published in the GitHub repository tasteray/skills (23 stars, last pushed 1mo ago), licensed MIT. It adds 1,259 tokens to every session, about $0.0063 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other instructions, from other repositories

glances CLAUDE.md

Claude Code instructions for nicolargo/glances, covering claude.md — glances maintainer context, 1. think before coding, 2. simplicity first, 3. surgical changes and 4. goal-driven execution.

nicolargo/glances · 1,149 tokens

windows-operations-mcp AGENTS.md

AGENTS.md instructions for sandraschi/windows-operations-mcp, covering windows-operations-mcp — agent guide, entry points, standards and key files.

sandraschi/windows-operations-mcp · 207 tokens

windows-operations-mcp CLAUDE.md

Claude Code instructions for sandraschi/windows-operations-mcp, covering windows-operations-mcp — claude code guide, entry points, standards and key files.

sandraschi/windows-operations-mcp · 191 tokens

cmds-llm-wiki AGENTS.md

Schema and harness document for the CMDS LLM Wiki vault. Defines the 3-layer architecture (Raw Sources / Wiki / Schema), ingest-query-lint operations, file conventions, and frontmatter standards. This is the single source of truth for LLM behavior in this vault.

johnfkoo951/cmds-llm-wiki · 14,302 tokens

cmds-llm-wiki CLAUDE.md

Schema and harness document for the CMDS LLM Wiki vault. Defines the 3-layer architecture (Raw Sources / Wiki / Schema), ingest-query-lint operations, file conventions, and frontmatter standards. This is the single source of truth for LLM behavior in this vault.

johnfkoo951/cmds-llm-wiki · 13,893 tokens

elicitly AGENTS.md

AGENTS.md instructions for elicitly/elicitly: This is the open-source Elicitly Free Edition: packages/elicitly (the local stdio MCP server published as elicitly) and packages/tools (the embeddable @elicitly/tools toolkit). The hosted Pro Edition lives in a separate private repository — nothing here may depend on it or…

elicitly/elicitly · 206 tokens